About Me (hide/show)
2nd year M.S. student studying Statistics at University of Washington. Graduated from University of California, Berkeley with High Distinction in General Scholarship (BA in Computer Science).
Currently doing research related to Computational Health/Biology as a part of Professor Su-In Lee's Lab. I'm interested in machine learning as well as probabilistic modelling for high-impact societal applications.
Curriculum Vitae: Link.
Hobbies: I used to breakdance and hope to get back into it. I like video games, reading, and love listening to music.
Projects - Research (hide/show)
Gabriel Erion, Hugh Chen, Scott Lundberg and Su-In Lee,"Anesthesiologist-level forecasting of hypoxemia with only SpO2 data using deep learning", Workshop paper. NIPS ML4H.
Hugh Chen, Scott Lundberg, Su-In Lee,"Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data", Workshop paper. NIPS ML4H.
Hugh Chen, Scott Lundberg, Su-In Lee. "Checkpoint Ensembles: Ensemble Methods from a Single Training Process". Under Preparation. Paper.
Projects - Misc (hide/show)
"Implementation of Nonparametric Methods". Tutorial that implements neural networks and KNN from scratch. Additionally implements gradient boosting trees using only sklearn's decision trees. Tutorial.
"Li and Stephens Model Paper Summary". Explanation of the Li and Stephens model, which has applications in many parts of genetics (haplotype phasing, linkage disequilibrium, recombination rates, etc.). Explanation.
"Graduation". Short film I made in High School. Video.
Classes I've enjoyed (hide/show)
CS61AS - Structure and Interpretation of Computer Programs
CS70 - Discrete Mathematics and Probability Theory
CS174 - Combinatorics and Discrete Probability
CS162 - Operating Systems and Systems Programming
CS168 - Internet Architecture
CS184 - Computer Graphics and Imaging
CS189 - Introduction to Machine Learning
CS270 - Graduate Algorithms
Favorite artists (hide/show)